The AI Cumulative Hiatus Delta is not just a performance gap. It is the missing technology between generative AI and dependable cumulative intelligence.
In plain English:
We know how to make AI generate better answers. We do not yet know what technology makes those answers accumulate into a trustworthy, continuously maintained state of knowledge.
That missing technology may involve external state, formal verification, dependency control, provenance, settlement, new architectures, or something not yet invented.
But the key point is:
The delta is not "bigger models." The delta is the as-yet-unidentified mechanism that turns probabilistic generation into reliable cumulative continuity.
AuthOrigin
Preserving the difference between knowing, believing, inferring and acting.
The problems explored in this essay — plausible answers replacing genuine knowledge, inferences treated as facts, decisions made without traceable authority — are not separate issues. They share a common cause: the epistemic state of information is lost in transit.
AuthOrigin preserves the knowledge-to-consequence chain. Every piece of information carries its epistemic state — not just what it says, but what it is:
Before knowledge is reused: what is it? Before it is trusted: where did it come from? Before it is acted upon: who has authority? Before the outcome is forgotten: what happened?
"AuthOrigin doesn't need to know what the problem is. It needs to preserve the evidence from which the problem can be demonstrated — and the conditions under which a solution can be trusted."
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